I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

In this graph, there are only five data points represented by the five dots on the graph. Linear regression attempts to estimate a line that best fits the data (a line of best fit) and the ...

A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++.

Nonlinear regression algorithms, which fit curves that are not linear in their parameters to data, are a little more complicated, because, unlike linear regression problems, they can’t be solved ...

This type of statistical analysis consists of examining various data points to determine which variables are most notable predictors. Linear regression draws corresponding trend lines, such as ...